Title: Intelligent encryption method for wireless sensing signal of underwater vehicles

Authors: Hao Wu; Yangming Wu; Yun Zhang; Yannian Zhang

Addresses: School of Electronic Information Engineering, Nanjing Vocational Institute of Transport Technology, Nanjing 211100, China ' School of Electronic Information Engineering, Nanjing Vocational Institute of Transport Technology, Nanjing 211100, China ' School of Electronic Information Engineering, Nanjing Vocational Institute of Transport Technology, Nanjing 211100, China ' School of Electronic Information Engineering, Nanjing Vocational Institute of Transport Technology, Nanjing 211100, China

Abstract: An intelligent encryption method of wireless sensing signal of underwater vehicles based on compressed sensing is proposed. The compressed sensing theory was used to collect the wireless sensing signal of underwater vehicles, observe the signal, reduce the dimension of signal, and then construct the observation matrix. Based on the constructed observation matrix, Hamming window was used to process the wireless sensor signal. After the framing processing, discrete cosine transform was used to enhance the sparsity of wireless sensor signals and improve the effectiveness of encryption. Finally, the signal encryption and decryption were realised by chaotic scrambling and its inverse process. The experimental results showed that compared with the traditional encryption method, the proposed intelligent encryption method had a lower intrusion rate and had better encryption effect via resisting the interference of white noise. The maximum rate of the proposed method was 2.72 KB s⁻¹, the maximum occupied space was 19 KB, and the residual error of the proposed method was the largest when the sparsity was 60, which was 4.5×10⁻¹⁴, which was much lower than that of the other two methods.

Keywords: underwater vehicle; wireless sensing signal; intelligent encryption; Hamming window.

DOI: 10.1504/IJVICS.2022.129034

International Journal of Vehicle Information and Communication Systems, 2022 Vol.7 No.4, pp.366 - 380

Received: 04 Jan 2022
Accepted: 21 Feb 2022
Published online: 15 Feb 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article